Mattfeldt T, Mall G
Growth. 1987 Spring;51(1):86-102.
Simple least square regression analysis, major axis regression, and reduced major axis regression have been advocated for straight line fitting to the logarithmically transformed data pairs in bivariate allometric studies. As all these techniques are based on rigid a priori assumptions on the error structure, their application may lead to considerable biases in slope estimation if these requirements are not met. A different mathematical model, the linear functional relationship, allows to remove the bias by estimating the error structure from grouped empirical data. The model is applicable to interspecific and cross-sectional growth allometric studies where natural grouping criteria are available (species, age). The technique is illustrated by growth allometry of myocardial cells and capillaries in the late postnatal period (after weaning) in 33 normal male Wistar rats (group 1: 5 weeks, group 2: 7 weeks, group 3: 13 weeks, group 4: 52 weeks). In left ventricular myocardium fixed by vascular perfusion, length and volume densities of myocardial cells and capillaries were estimated by stereological techniques at the light and electron microscopic level. Total capillary length and total myocardial cell volume were scaled to total myocardial cell length. A comparison of the scaling methods showed an underestimation of the slope and its confidence interval by all regression techniques, which would have led to the erroneous conclusion that the myocardial cell does not remain geometrically similar throughout the normal growth process. Linear functional relationship and the technique of instrumental variables led to nearly identical results and were both compatible with geometric similarity of the myocardial cell during growth. Positive allometry of total capillary length to total myocardial cell length (b = 1.674) demonstrates continuous neoformation of capillaries. The intensity of capillary proliferative activity during growth was intermediate between the reactions observed in myocardial hypertrophy due to pressure overload and that due to physical training. This agrees with the fact that both systemic arterial pressure and cardiac output increase during maturation. The study is designed as a worked example which should enable the practicing researcher to treat data from cross-sectional growth allometric studies with a simple and unbiased statistical method.
在双变量异速生长研究中,简单最小二乘回归分析、主轴回归和约化主轴回归已被提倡用于对经对数变换的数据对进行直线拟合。由于所有这些技术都基于对误差结构的严格先验假设,如果这些要求不满足,它们的应用可能会导致斜率估计中出现相当大的偏差。一种不同的数学模型,即线性函数关系,允许通过从分组的经验数据中估计误差结构来消除偏差。该模型适用于有自然分组标准(物种、年龄)的种间和横断面生长异速生长研究。通过对33只正常雄性Wistar大鼠出生后晚期(断奶后)心肌细胞和毛细血管的生长异速生长进行说明(第1组:5周,第2组:7周,第3组:13周,第4组:52周)。在通过血管灌注固定的左心室心肌中,通过光镜和电镜水平的体视学技术估计心肌细胞和毛细血管的长度和体积密度。将总毛细血管长度和总心肌细胞体积按比例缩放到总心肌细胞长度。对缩放方法的比较表明,所有回归技术都低估了斜率及其置信区间,这将导致错误的结论,即心肌细胞在整个正常生长过程中不会保持几何相似性。线性函数关系和工具变量技术导致了几乎相同的结果,并且都与生长过程中心肌细胞的几何相似性一致。总毛细血管长度与总心肌细胞长度的正异速生长(b = 1.674)表明毛细血管持续新生。生长过程中毛细血管增殖活动的强度介于压力过载引起的心肌肥大和体育锻炼引起的心肌肥大所观察到的反应之间。这与成熟过程中全身动脉压和心输出量均增加这一事实相符。该研究被设计为一个实例,应能使实际研究人员用一种简单且无偏差的统计方法处理横断面生长异速生长研究的数据。